AI Product Manager

Aspire Software

. Spend time weekly in venues with operators, chefs, floor staff and head office teams to understand how work is done .

Posted 10/13/2026full-timeRemote • AustraliaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in product delivery and AI prototyping, with strong capabilities in coding, data querying, and API integration. Proven ability to manage end-to-end project workflows and deliver measurable outcomes in a fast-paced environment.

Highest-signal resume keywords

Python ProgrammingSQL Data QueryingAPI IntegrationAI PrototypingJira Configuration

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

PythonTypeScriptSQLAI Coding ToolsData Quality ManagementAcceptance Criteria WritingPrototypingEdge Case ManagementCloud BasicsLarge Language Models

Soft Skills

Attention to DetailClear WritingCustomer DiscoveryEvidence-Based Decision MakingAdaptability

Tools & Technologies

JiraAWSClaude CodeCursorLovable

Industry Keywords

HospitalityProduct EngineeringData ScienceStartup ExperienceRevenue Measurement

Tech Stack

Tools & technologies

AWSCloudPythonSQLTypeScript

About the role

Key responsibilities & impact

Spend time weekly in venues with operators, chefs, floor staff and head office teams to understand how work is done
Turn customer discovery into one-page specifications with the problem, measurable outcome and venue value in dollars
Prioritise with the Head of Product Engineering & AI and drop work that will not improve adoption or revenue
Prototype solutions with AI coding and design tools such as Claude Code, Cursor and Lovable
Write evals, test sets and acceptance criteria for AI features such as voice booking, demand forecasting and anomaly detection
Work with engineers through build, testing and release, owning edge cases, data quality and cross-device experience
Design for an API- and MCP-first platform so partners and agents can act on H&L data and forecasts
Own the end-to-end delivery system, including pod and sprint rituals, showcases, release notes, eval reviews and agent change logs
Configure and own Jira or the selected delivery tool, including hierarchy, workflows, dashboards and leadership roadmap
Run the weekly feedback loop from support tickets, pilot feedback and sales requests into the backlog
Automate status updates, release notes, meeting summaries and backlog hygiene with agents
Run launches end to end, including positioning, demos, pricing pages, onboarding guides and release communications
Recruit and run design-partner pilots, convert pilots to first paying venues and provide Sales with a repeatable pitch
Measure adoption and revenue after launch and report weekly with the next action
Within the first 90 days, ship a prototype into a live venue, write and release an AI eval set, run a launch that wins a first paying venue, and establish Jira delivery rituals

Requirements

What you’ll need

A degree in computer science, engineering or data science, or equivalent demonstrated by what you have built
Up to three years in product, engineering, data, consulting or a startup is preferred; strong graduates considered
Built and shipped something real, such as a product, startup, open-source project or hackathon entry, and able to demonstrate it
Hospitality experience counts strongly in your favour but is not required
Ability to write code in Python or TypeScript
Ability to query data in SQL
Experience working with APIs
Comfortable with cloud basics on AWS or equivalent
Ability to configure a delivery tool such as Jira or Linear from scratch, including roadmap and leadership reports
Daily use of AI coding tools and ability to build a working prototype in a day
Understanding of large language models, prompts, tool use, retrieval and agents
Ability to test AI systems with evals
Ability to ask customers the right questions and turn answers into decisions
Ability to size value in dollars and make evidence-based trade-offs
Understanding of how software and payments businesses make money
Clear, brief writing; specs, demos and messages require no rework
Exceptional attention to detail, including reconciling numbers, covering edge cases and clean releases
Strong, well-argued view on the direction of hospitality and software, with willingness to change it when evidence changes

Benefits

Comp & perks

Direct work with the Head of Product Engineering & AI and the Managing Director on products shaping the company
Products in the hands of real venues within weeks across more than 1,400 venues in Australia and New Zealand
Latest AI tools and freedom to use them
Fast learning curve while AI product management is being defined
Path to Senior Product Manager, reviewed after 12 months against role outcomes
Competitive salary